الفهرس | Only 14 pages are availabe for public view |
Abstract I ABSTRACT Mas/a/a Mohamed Ahmed. On GIS modeling for future health reform. For the degree of PhD Ain Shams university, Computers and System Engineering Department, Cairo 2002. GIS is used in modeling, simulation, forecasting, prediction and prescription. To help planners and policy makers. GIS is a systems for the collection, storage, analysis and display of spatially referenced data such data in this research, associated with health and diseases. GIS has been used as decision support tool to plan the spatial configuration of health care services and the response of health system to major disasters and emergencies. Since proprietary GIS is not fully support analytical modeling, it is important to integrate GIS with spatial analysis to achieve a comprehensive tool for GIS modeling. We use spatial analysis tools integrated with GIS to overcome these lack. The integration of SA and GIS provide useful and valuable perspectives. Socioecononic data is an important factor affecting public health, and we can not perform health reform without studying the strong relation between health and socioeconomic data. Surface model approach is the suitable data representation tools for integrating, displaying and analyzing socioeconomic and health information. We deal with many approaches which cover health GIS modeling applications such as: locational modeling, spatial forecasting modeling and space-time modeling. Tailored tools for building dynamic models are linked with GIS to make use of its properties and to integrate most of the tools necessary in time-geographic research: animated figures and maps, spatio-temporal management, and dynamic modeling. The case study will cover the application of GIS modeling in future health reform (FHR) and diseases distribution in Sohag governorate .: In future health reform, we analyse the relations between the available health care units and the target areas to find out the unserviced areas to improve its quality of service. One of the important problems is to determine accurately the serviced and unserviced areas according to available health care units and required demands. This problem can be IIIsolved by two approaches; spatial model and GIS mathematical model. These two approaches were discussed and tested and compared with respect to their assumption and constrains, input and output data and accuracy. The author concludes that a developed GISMathematical model is most suitable to GtS-Modelling for FHR. The results of the model gave that there are 160 unserviced urban areas. So it is required to construct 27 new PHC unit and to reallocate some of the current ones to reach complete health care coverage for Sohag governorate. In diseases distribution, Bilharziases disease cases were collected at the level of Sohag governorate districts and then perform analysis about the causes of the disease such as, environmental factors and area of residence and also, analyze the linkage between Bilharziases cases and other diseases such as renal failure. There are strong relations between Bilharzia and these factors. Also in cancer incidence cases, analysis was performed for different factors affecting its rate of spread as environmental features, emissions, land use patterns and high power transmission lines, and it was found that there are strong relations between these factors and cancer incidence cases. Keywords: Auto Correlation Choropleth Maps Clustering Correlation Disease Distribution Dynamic Modelling Dynamic Spatial Model Ecological Fallacy Epidemiology Future Health Reform Geographical Aggregation GIS Modelling Local Statistics Locational Modelling Modelled Representation Modifiable Areal Unit Problem Network Analysis Population Density Model Quantitative Analysis Raster Representation Spatial Analysis Spatial Decision Support System Spatial Forecasting Spatial Statistics Spatio-Temporal Managment Statistical Theory Vector Representation IV t |